Source code for RCAIDE.Library.Plots.Noise.plot_noise_level
# RCAIDE/Library/Plots/Noise/plot_noise_level.py
#
#
# Created: Jul 2023, M. Clarke
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# IMPORT
# ----------------------------------------------------------------------------------------------------------------------
from RCAIDE.Framework.Core import Units
from RCAIDE.Library.Plots.Common import set_axes, plot_style
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
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# PLOTS
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[docs]
def plot_noise_level(noise_data,
noise_level = False,
save_figure = False,
save_filename = "Sideline_Noise_Levels",
file_type = ".png",
width = 11, height = 7):
"""
Creates a visualization of A-weighted Sound Pressure Levels at various sideline distances.
Parameters
----------
noise_data : NoiseData
RCAIDE noise data structure containing:
- microphone_y_resolution : int
Number of sideline measurement positions
- microphone_locations : ndarray
3D array of microphone positions where:
- [:,:,0] : x-positions (longitudinal)
- [:,:,1] : y-positions (sideline)
- [:,:,2] : z-positions (vertical)
noise_level : ndarray, optional
2D array of noise levels at measurement points (default: False)
save_figure : bool, optional
Flag for saving the figure (default: False)
save_filename : str, optional
Name of file for saved figure (default: "Sideline_Noise_Levels")
file_type : str, optional
File extension for saved figure (default: ".png")
width : float, optional
Figure width in inches (default: 11)
height : float, optional
Figure height in inches (default: 7)
Returns
-------
fig : matplotlib.figure.Figure
Handle to the generated figure showing noise levels vs range
Notes
-----
Creates visualization showing:
* Noise level variation with distance
* Multiple sideline measurement positions
* Color-coded sideline distances
* Customizable appearance
**Major Assumptions**
* Noise levels are A-weighted SPL in dBA
* Microphones are in a regular grid
* Range is in nautical miles
* Sideline distances are in meters
**Definitions**
'Sound Pressure Level'
A-weighted acoustic pressure level in dBA
'Sideline Distance'
Perpendicular distance from flight path
'Range'
Distance along flight path
See Also
--------
RCAIDE.Library.Plots.Noise.plot_2D_noise_contour : 2D contour visualization
RCAIDE.Library.Plots.Noise.plot_3D_noise_contour : 3D noise field visualization
"""
N_gm_y = noise_data.microphone_y_resolution
gm = noise_data.microphone_locations
gm_x = gm[:,:,0]
gm_y = gm[:,:,1]
# get plotting style
ps = plot_style()
parameters = {'axes.labelsize': ps.axis_font_size,
'xtick.labelsize': ps.axis_font_size,
'ytick.labelsize': ps.axis_font_size,
'axes.titlesize': ps.title_font_size}
plt.rcParams.update(parameters)
fig = plt.figure(save_filename)
fig.set_size_inches(width,height)
axes = fig.add_subplot(1,1,1)
# get line colors for plots
line_colors = cm.inferno(np.linspace(0,0.9,N_gm_y))
for k in range(N_gm_y):
axes.plot(gm_x[:,0]/Units.nmi, noise_level[:,k], marker = 'o', color = line_colors[k], label= r'mic at y = ' + str(round(gm_y[0,k],1)) + r' m' )
axes.set_ylabel('SPL [dBA]')
axes.set_xlabel('Range [nmi]')
set_axes(axes)
axes.legend(loc='upper right')
if save_figure:
plt.savefig(save_filename + ".png")
return fig
